1614 Courses delivered Online

Overview This Criminology - Criminal Intelligence Analyst course will unlock your full potential and will show you how to excel in a career in Criminology - Criminal Intelligence Analyst. So upskill now and reach your full potential. Everything you need to get started in Criminology - Criminal Intelligence Analyst is available in this course. Learning and progressing are the hallmarks of personal development. This Criminology - Criminal Intelligence Analyst will quickly teach you the must-have skills needed to start in the relevant industry. In This Mental Health Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Criminology - Criminal Intelligence Analyst skills to help you advance your career. Acquire a comprehensive understanding of various Criminology - Criminal Intelligence Analyst topics and tips from industry experts. Learn in-demand Criminology - Criminal Intelligence Analyst skills that are in high demand among UK employers, which will help you to kickstart your career. This Criminology - Criminal Intelligence Analyst course covers everything you must know to stand against the tough competition in the Criminology - Criminal Intelligence Analyst field.  The future is truly yours to seize with this Criminology - Criminal Intelligence Analyst. Enrol today and complete the course to achieve a Criminology - Criminal Intelligence Analyst certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Upon successfully completing the Criminology - Criminal Intelligence Analyst course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Process of Evaluation After studying the Criminology - Criminal Intelligence Analyst course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Criminology Diploma course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Criminology - Criminal Intelligence Analyst is suitable for anyone aspiring to start a career in Criminology - Criminal Intelligence Analyst; even if you are new to this and have no prior knowledge on Criminology - Criminal Intelligence Analyst, this course is going to be very easy for you to understand.  And if you are already working in the Criminology - Criminal Intelligence Analyst field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Criminology - Criminal Intelligence Analyst course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Criminology - Criminal Intelligence Analyst course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Criminology - Criminal Intelligence Analyst course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Criminology - Criminal Intelligence Analyst course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Criminology - Criminal Intelligence Analyst Module 01: Introduction to Intelligence Analysis 00:18:00 Module 02: Criminal Intelligence Analysis 00:21:00 Module 03: Criminal Intelligence Analyst - Skills and Competencies 00:17:00 Module 04: Understanding Criminal Psychology 00:37:00 Module 05: Research Methods in Crime Analysis 00:28:00 Module 06: Decision Making in Criminal Intelligence Analysis 00:18:00 Module 07: Intelligence-Led Policing 00:16:00 Module 08: Counterterrorism and Criminal Intelligence Analysis 00:18:00 Module 09: Technology in Criminal Intelligence Analysis 00:19:00 Module 10: The Criminal Justice System in England and Wales 00:17:00

Welcome to Dynamic Excel Gantt Chart and Timelines Course! In this Dynamic Excel Gantt Chart and Timelines Course, you're going to learn plenty of hacks for tripling your productivity and gaining a deeper understanding of how productivity can boost your career. You will discover the tools and methods used by the world's most productive people to produce high-quality results and get ahead both in business and life.  You will also learn different strategies for achieving peak performance and improving emotional engagement in work. Besides, explore how to focus on getting into and maintaining your flow to accomplish necessary tasks effortlessly. This course is led by a professional instructor who will illustrate the exact way you can approach productivity level by level, and to create the right environment for productivity and get more done in less time. Highlights of the Dynamic Excel Gantt Chart and Timelines : Discover the secrets of finding the key to doing your best work Understand how to reach your most productive level based on scientific research and principles Explore the hidden productivity recipes of professionals and the most successful people in the world Develop a routine for greater productivity both at home and at work Understand the time management strategies for managing your time when dealing with multiple urgent tasks Discover how to achieve higher productivity by making just a few simple changes Learn simple yet highly effective productivity hacks that you can apply in minutes or less Explore science-backed advice for developing a 'Productivity Mindset' and beat procrastination Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Who is this Course for? This Dynamic Excel Gantt Chart and Timelines Course is ideal for managers or leaders, team leaders, CEOs, business owners, or directors wanting to master the best tools, techniques and skills to boost their productivity and supercharge their professional development. It is also ideal for students who are interested in learning how to eliminate distractions and interruptions in order to enhance their learning abilities. There are no learning requirements or formal degrees necessary to begin this course, and it can be studied on a full-time or part-time basis. How is the course assessed? To successfully complete the course you must pass an automated, multiple-choice assessment. The assessment is delivered through our online learning platform. You will receive the results of your assessment immediately upon completion. Will I receive a certificate of completion? Upon successful completion, you will qualify for the UK and internationally-recognised certification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hardcopy Certificate for £15. Requirements The Dynamic Excel Gantt Chart and Timelines is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16. Career Path Upon successful completion, learners will be aware of a handful of simple life hacks to accomplish anything in life, become peak performers and get 100% engaged in the work they do. Course Curriculum Introduction to the Course Introduction 00:03:00 Section-1 Create Dynamic Excel Gantt charts Decoding Essential Chart Elements 00:10:00 Create First Gantt Chart in Minutes 00:07:00 Use Gantt Chart Timeline for more duration 00:07:00 Useful Tips on How to Track a Project 00:06:00 Section-2 Create Dynamic Timelines and Events Dynamic milestones for a Project 00:11:00 Create a Stunning Dynamic chart with Images 00:11:00 Section-3 Duration Based Excel Timelines Create a Project Timeline 00:12:00 The formula for Planned % completion 00:07:00 Dynamic Timeline with Planned % completion 00:08:00 Planned Vs Actual report 00:08:00 Section-4 Dynamic Excel Gantt chart Dashboard Gantt chart Dashboard with Pivot table Basics 00:02:00 Gantt chart Dashboards with Timeline and slicer 00:10:00 Set Priorities using Timeline and Slicer 00:05:00 Section-5 Gantt chart and Project Tracking with Huge data Simple Interface for more Activities 00:07:00 How to Create a Baseline Bar 00:07:00 How to Create Actual Progress Bar 00:09:00 Simple Technique to Record, Monitor and Track a Project 00:07:00

Overview This comprehensive course on Electronic & Electrical Devices Maintenance will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Electronic & Electrical Devices Maintenance comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Electronic & Electrical Devices Maintenance. It is available to all students, of all academic backgrounds. Requirements Our Electronic & Electrical Devices Maintenance is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 8 sections • 57 lectures • 16:32:00 total length •Unit 1: Introduction: 00:02:00 •Unit 2: Instructor's Introduction: 00:03:00 •Unit 1: Becoming a Troubleshooter: 00:02:00 •Unit 1: Tools Needed: 00:01:00 •Unit 2: Multimeters: 00:07:00 •Unit 3: Wire Cutter and Stripper: 00:03:00 •Unit 4: Wiring Tools Soldering Iron: 00:02:00 •Unit 5: Screw Drivers: 00:03:00 •Unit 6: Pliers: 00:02:00 •Unit 7: Wrench: 00:02:00 •Unit 8: Oscilloscope and Function Generator: 00:03:00 •Unit 1: Passive Electronic Components: 00:03:00 •Unit 2: Active Electronic Component Diode: 00:03:00 •Unit 3: Active Electronic Component Transistor: 00:03:00 •Unit 4: Common Electronic and Electrical Components: 00:05:00 •Unit 1: Testing a Fuse: 00:03:00 •Unit 2: Testing a Bulb or Lamp: 00:02:00 •Unit 3: Testing a Switch: 00:01:00 •Unit 4: Testing a Transformer: 00:04:00 •Unit 5: Testing a Resistance: 00:08:00 •Unit 1: Safety Concerns: 00:05:00 •Unit 2: Main Concerns - Maintenance: 00:02:00 •Unit 3: Main Concerns - Servicing: 00:02:00 •Unit 4: Troubleshooting Part - 1: 00:03:00 •Unit 5: Troubleshooting Part - 2: 00:04:00 •Unit 1: Introduction: 00:05:00 •Unit 2: Voltage Current and Resistance: 00:06:00 •Unit 3: Types of Current: 00:03:00 •Unit 4: Types of Circuits: 00:02:00 •Unit 5: Practical: Introduction to Digital Multimeter DMM: 00:07:00 •Unit 6: Volt Ohm Meter Basics: 00:05:00 •Unit 7: Measuring Voltage: 00:13:00 •Unit 8: Practical: How to Measure DC Voltage: 00:03:00 •Unit 9: Measuring Current: 00:05:00 •Unit 10: Measuring Currents - Lab Experiment Explained: 00:11:00 •Unit 11: Practical 1: How to Measure Current: 00:04:00 •Unit 12: Practical 2: How to Measure Current: 00:01:00 •Unit 13: Measuring Resistance: 00:08:00 •Unit 14: Practical: How to Test Resistors: 00:05:00 •Unit 15: Circuit Diagram Basics and Basic Symbols: 00:12:00 •Unit 16: Introduction to Resistor and Color Band Coding: 00:09:00 •Unit 17: Power Dissipation + Parallel and Series Resistors: 00:12:00 •Unit 18: Ohm's Law: 00:14:00 •Unit 19: Introduction to Capacitors: 00:11:00 •Unit 20: Capacitors Behavior + Capacitors in Series and Parallel: 00:07:00 •Unit 21: Practical 1: How to Test a Capacitor: 00:03:00 •Unit 22: Practical 2: How to Test A Capacitor: 00:02:00 •Unit 23: Introduction to Inductors: 00:07:00 •Unit 24: Practical: How to Test and Measure Coils: 00:06:00 •Unit 25: Introduction to Diode + Zener Diode and LED: 00:08:00 •Unit 26: Practical 1: How to Test a Diode: 00:02:00 •Unit 27: Practical 2: How to Test a Diode: 00:02:00 •Unit 28: Introduction to Transistors: 00:10:00 •Unit 29: Practical 1: How to Test a Transistor: 00:04:00 •Unit 30: Practical 2: How to Test a Transistor: 00:04:00 •Unit 31: Practical 3: How to Test a Transistor: 00:03:00 •Assignment - Electronic & Electrical Devices Maintenance & Troubleshooting: 2 days, 12 hours

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Duration 3 Days 18 CPD hours This course is intended for This course is introductory-level, but technical in nature. In order to participate in the hands-pon labs you should have a basic understanding of database principles, basic scripting skills (in relation to Oracle) and basic analytics skills. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Core concepts of regular PDBs Creating a CDB, and then using different methods to create PDBs. How to start and shut down a CDB and how to open and close a PDB. Security aspects in CDBs and PDBs in various areas like privileges and roles, lockdown profiles, auditing, Database Vault, and encryption. Availability through backup, duplicate, recovery, and flashback topics and then performance, monitoring, and resources allocation management in CDBs and PDBs. How you can move data from a non-CDB environment to a PDB. How to move data between PDBs by using utilities such as the export and import features of Oracle Data Pump, SQL*Loader, external tables, and Oracle Recovery Manager. The multitenant architecture enables you to have many pluggable databases inside a single Oracle Database instance. Oracle Database 19c Multitenant Architecture is a three-day hands on course that explores the multitenant architecture and the different types of pluggable databases (PDBs) in multitenant container databases (CDBs). Multitenant Architecture CDB Basics CDB and Regular PDBs Application PDBs and Application Installation PDB Creation PDB Creation CDB and PDB Management Storage Security Security Backup and Duplicate Recovery and Flashback Performance Resources Allocation Data Movement Data Movement Upgrade Methods Miscellaneous Additional course details: Nexus Humans Oracle Database 19c Multitenant Architecture (TTOR20719) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Oracle Database 19c Multitenant Architecture (TTOR20719) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for Security-operations (SecOps), or security, orchestration, automation, and response (SOAR) engineers, managed security service providers (MSSPs), service delivery partners, system integrators, and professional services engineers Overview This training is designed to enable a SOC, CERT, CSIRT, or SOAR engineer to start working with Cortex XSOAR integrations, playbooks, incident-page layouts, and other system features to facilitate resource orchestration, process automation, case management, and analyst workflow. The course includes coverage of a complete playbook-development process for automating a typical analyst workflow to address phishing incidents. This end-to-end view of the development process provides a framework for more focused discussions of individual topics that are covered in the course. The Cortex? XSOAR 6.8: Automation and Orchestration (EDU-380) course is four days of instructor-led training that will help you: Configure integrations, create tasks, and develop playbooks Build incident layouts that enable analysts to triage and investigate incidents efficiently Identify how to categorize event information and map that information to display fields Develop automations, manage content, indicator data, and artifact stores, schedule jobs, organize users and user roles, oversee case management, and foster collaboration This class is powered by Cloud Harmonics. Course Outline Module 1 - Core Functionality and Feature Sets Module 2 - Enabling and Configuring Integrations Module 3 - Playbook Development Module 4 - Classification and Mapping Module 5 - Layout Builder Module 6 - Solution Architecture Module 7 - Docker Module 8 - Automation Development and Debugging Module 9 - The Marketplace and Content Management Module 10 - Indicators and Threat Intelligence Management Module 11 - Jobs and Job Scheduling Module 12 - Users and Role-Based Access Controls (RBAC) Module 13 - Integration Development Additional course details: Nexus Humans Palo Alto Networks: Cortex XSOAR 6.8: Automation and Orchestration(EDU-380) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Palo Alto Networks: Cortex XSOAR 6.8: Automation and Orchestration(EDU-380) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: System administrators Technical solutions architects Systems integrators Channel partners Value-added resellers Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview Upon completing this course, the learner will be able to meet these overall objectives: Understand Cisco UCS Management in Cisco Intersight Describe the Cisco UCS Platform including Cisco X-Series Understand Cisco Intersight Workload Optimizer Explain Kubernetes Orchestration with Cisco Intersight Kubernetes Service (IKS) and Cisco UCS Perform Automation Using Cisco Intersight Create Intersight Elements Using Terraform Manage Intersight Using the API Cisco Intersight Overview (DCISO) is a 3-day instructor led course that builds your experience with the administration of Cisco Unified Computing System (UCS) X-Series servers, including using Cisco Intersight for UCS management. This course covers architecture, configuration, and operation of Cisco Intersight©, and is designed to serve the needs of engineers seeking to understand the capabilities of Cisco Intersight for managing data centers from a single management platform.This course will help you:Use SaaS or on-prem version of Cisco Intersight to enable IT organizations to analyze, simplify, and automate their environments in more advanced ways than the prior generations of toolsGain hands-on experience using Cisco IntersightUnderstand the X-Series, B-Series, and C-Series product line similarities and differencesDescribe Cisco Intersight and how it can be used to manage UCS and Cisco Hyperflex©Understand the process for upgrading firmware with Cisco IntersightAdministering server profiles, pools, and policies with Cisco IntersightDescribe how to get started with Cisco Intersight programmability Course Outline Describing Cisco UCS Management in Cisco Intersight Describing the Cisco UCS Platform Describing Cisco Intersight Workloads Describing Automation Options Using Cisco Intersight Additional course details: Nexus Humans Cisco Intersight Overview (DCISO) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Intersight Overview (DCISO) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is introductory-level, but technical in nature. In order to participate in the hands-pon labs you should have a basic understanding of database principles, basic scripting skills (in relation to Oracle) and basic analytics skills. Overview This course is approximately 50% hands-on lab to lecture ratio, combining engaging expert lessons, demos and group discussions with real-world, skills-focused machine-based labs and exercises. Working in a hands-on learning environment led by our expert facilitator, you'll explore: Core concepts of regular PDBs Creating a CDB, and then using different methods to create PDBs. How to start and shut down a CDB and how to open and close a PDB. Security aspects in CDBs and PDBs in various areas like privileges and roles, lockdown profiles, auditing, Database Vault, and encryption. Availability through backup, duplicate, recovery, and flashback topics and then performance, monitoring, and resources allocation management in CDBs and PDBs. How you can move data from a non-CDB environment to a PDB. How to move data between PDBs by using utilities such as the export and import features of Oracle Data Pump, SQL*Loader, external tables, and Oracle Recovery Manager. The multitenant architecture enables you to have many pluggable databases inside a single Oracle Database instance. Oracle Database 19c Multitenant Architecture is a three-day hands-on course that explores the multitenant architecture and the different types of pluggable databases (PDBs) in multitenant container databases (CDBs). Multitenant Architecture CDB Basics CDB and Regular PDBs Application PDBs and Application Installation PDB Creation PDB Creation CDB and PDB Management Storage Security Security Backup and Duplicate Recovery and Flashback Performance Resources Allocation Data Movement Data Movement Upgrade Methods Miscellaneous Additional course details: Nexus Humans Oracle 19c Database Multitenant Architecture (TTOR20719) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Oracle 19c Database Multitenant Architecture (TTOR20719) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.